Evidence map›Paper›PMID 38257666›Full record

ArticleSensors (Basel, Switzerland)2024

LoRaCELL-Driven IoT Smart Lighting Systems: Sustainability in Urban Infrastructure.

Iago Z Biundini, Milena F Pinto, Leonardo M Honório, Miriam A M Capretz, Amanda O Timotheo, Mario A R Dantas, Priscilla C Villela

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Iago Z BiundiniDepartment of Electrical Engineering, Federal University of Juiz de Fora, Juiz de Fora 36036-900, Brazil.
Milena F PintoDepartment of Electronics Engineering, Federal Center for Technological Education of Rio de Janeiro, Rio de Janeiro 20271-110, Brazil.ORCID 0000-0001-6916-700X
Leonardo M HonórioDepartment of Electrical Engineering, Federal University of Juiz de Fora, Juiz de Fora 36036-900, Brazil.ORCID 0000-0003-2735-4792
Miriam A M CapretzDepartment of Electrical and Computer Engineering, Western University, London, ON N6A 5B7, Canada.ORCID 0000-0002-1380-971X
Amanda O TimotheoDepartment of Electrical Engineering, Federal University of Juiz de Fora, Juiz de Fora 36036-900, Brazil.ORCID 0000-0002-6530-7957
Mario A R DantasDepartment of Electrical Engineering, Federal University of Juiz de Fora, Juiz de Fora 36036-900, Brazil.ORCID 0000-0002-2312-7042
Priscilla C VillelaCEB Lajeado, Brasilia 71215-902, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, the rate of urbanization has increased enormously, precipitating an escalating demand for improved services and applications in urban areas to improve the quality of life. In the Internet of Things (IoT)era, cities are transforming into smart urban centers. These cities incorporate connected devices, such as intelligent public lighting systems, to enhance their urban infrastructure. Therefore, this work explores the transformative potential of an IoT-enabled smart lighting system in urban environments, emphasizing its essential role in enhancing safety, economy, and sustainability. In this sense, LoRaCELL (Long-Range Cell) is introduced. LoRaCELL is an innovative system that utilizes edge devices for data collection, such as light intensity, humidity, temperature, air quality, solar ultraviolet radiation, ammeter, and voltmeter. It stands as a pioneering solution for intelligent public lighting systems, contributing to advancing IoT-driven urban development. The outcomes showed that the proposed system could successfully synchronize the devices with each other and send IoT sensing data at a low cost compared to traditional technologies such as LoRaWAN.

Indexed as

IoT-enabled smart lightingLoRaCELLurban development and sustainability

Identifiers

PMID38257666
PMCPMC10818303

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.